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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and driving the evolution of enterprise AI and analytics platforms, with a strong focus on product strategy, stakeholder collaboration, and delivering measurable outcomes. Proficient in managing complex products involving AI technologies and modern data architectures.
Highest-signal resume keywords
Product ManagementEnterprise Software DevelopmentAI Solutions DeliveryData Analytics ArchitectureGenerative AI Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product StrategyRoadmap DevelopmentProduct Requirements TranslationAnalytics ArchitectureAI EvaluationObservabilityReliability ManagementData AnalyticsTechnical Product ManagementEnterprise Data Architecture
Soft Skills
CollaborationStakeholder EngagementProblem Identification
Tools & Technologies
SnowflakeCloud Data PlatformsBI PlatformsAPIs
Industry Keywords
Generative AILLMsConversational AISemantic LayersBusiness MetadataKnowledge ModelsGoverned Enterprise Analytics
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Define and drive the evolution of an enterprise AI and analytics platform
- Develop and maintain product strategy, roadmap, and success metrics for key platform capabilities
- Partner with customers and stakeholders to identify high-value problems
- Translate customer and stakeholder needs into clear product requirements
- Collaborate with engineering and AI teams to deliver scalable, secure, and responsible AI solutions
- Deliver measurable product outcomes that enhance adoption, engagement, reliability, and business value
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, Information Systems, Data/Analytics, Business, or a related discipline
- 5+ years of experience in Product Management, Technical Product Management, or a closely related technology role
- Experience defining and delivering enterprise software, analytics, data, AI, or platform products
- Experience with modern data and analytics architectures
- Experience working directly with engineering teams on technically complex products
- Preferred: experience building or managing products involving Generative AI, LLMs, AI agents, or conversational AI
- Preferred: understanding of LLM concepts including prompting, context management, grounding, tool use, agent orchestration, and evaluation
- Preferred: familiarity with semantic layers, business metadata, knowledge models, or governed enterprise analytics
- Preferred: experience with Snowflake, modern cloud data platforms, BI platforms, APIs, and enterprise data architectures
- Preferred: understanding of AI evaluation, observability, reliability, hallucination management, and responsible AI practices
Benefits
Comp & perks- Medical, dental and vision insurance
- 401(k) plan with a Cisco matching contribution
- Paid parental leave
- Short- and long-term disability coverage
- Basic life insurance
- Cisco restricted stock unit grants may be available
- 10 paid holidays per full calendar year
- 1 floating holiday for non-exempt employees
- 1 paid birthday day off
- Paid year-end holiday shutdown
- 4 paid personal wellness days
- 16 days of paid vacation per full calendar year for non-exempt employees
- Flexible vacation time off program for exempt employees
- 80 hours of sick time off provided on hire date and each January 1st thereafter
- Up to 80 hours of unused sick time carried forward annually
- Additional paid time away for critical or emergency family issues
- Optional 10 paid volunteer days per full calendar year
- Annual bonuses for non-sales roles, subject to Cisco policies
